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insurability maps for both data‑rich and data‑scarce contexts to identify potential future tippings points for insurance; Applying and validating the methods in case studies in the Netherlands and
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missing, partial, and irregular observations Temporal and longitudinal representation learning The role of objectives, architectures, and context in shaping representations New learning objectives and
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diasporic contexts. In line with new theoretical and methodological orientations, the project revisits the notion of embodiment and is interested in the movements of human bodies as bearers of memorial
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: Multi.Div – Complementarity of Standard and eDNA Approaches for Studying River Biodiversity (i) Scientific Context Detailed knowledge of biodiversity in aquatic environments and wetlands is essential
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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algorithms for inverse problems, uncertainty quantification and experimental design in the context of wave-based imaging; implement prototype numerical methods and test them on increasingly realistic
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researchers, and clinicians to formulate relevant questions and interpret findings in their biological and medical context. Contribute to turning advanced imaging and sensing technologies into tools
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constructively with stakeholders from the financial sector and government; Interest in the Dutch spatial planning context and water management is an asset; Fluency in English is essential. Proficiency in Dutch is
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) Future risk assessments by long‑term insurability maps for both data‑rich and data‑scarce contexts to identify potential future tippings points for insurance; Applying and validating the methods in case
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of the environment shape this process. Working across disciplines such as psychology, neuroscience, computer science, economics, and sociology, we do research within a context that fosters academic freedom, curiosity